Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand

Abstract The growing acknowledgment of population wellbeing as a key indicator of societal prosperity has propelled governments worldwide to devise policies aimed at improving their citizens’ overall wellbeing. In New Zealand, the General Social Survey provides wellbeing metrics for a representative...

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Auteurs principaux:	Anantha Narayanan, Tom Stewart, Scott Duncan, Gail Pacheco
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-02-01
Collection:	Scientific Reports
Sujets:	Subjective wellbeing Machine learning Predictive models Administrative data Census
Accès en ligne:	https://doi.org/10.1038/s41598-025-90852-0
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